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NVIDIA DGX Spark Desktop Personal Supercomputer
Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX™ Spark delivers 1000 AI TOPS of AI performance in a power-efficient, compact form factor. With the NVIDIA AI software stack preinstalled and 128GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, Google, and others with up to 200 billion parameters locally, and seamlessly deploy to the data centre or cloud.
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AED18,570
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NVIDIA DGX Spark Supercomputer
Powered by the NVIDIA GB10 Grace Blackwell Superchip, the NVIDIA DGX Spark Supercomputer delivers 1000 AI TOPS of AI performance in a power-efficient, compact form factor. With the NVIDIA AI software stack preinstalled and 128GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, Google, and others with up to 200 billion parameters locally, and seamlessly deploy to the data centre or cloud.
The increasing size and complexity of generative AI models are making development efforts on local systems challenging. Prototyping, tuning, and inferencing large models locally requires large amounts of memory and significant compute performance. As enterprises, software providers, government agencies, startups, and researchers staff up AI efforts, the need for AI compute resources continues to grow.
NVIDIA DGX™ Spark is part of a new class of computers designed from the ground up to build and run AI. Powered by the NVIDIA GB10 Grace Blackwell Superchip and based on the NVIDIA Grace Blackwell architecture, NVIDIA DGX Spark delivers up to 1000 TOPS of AI performance to power large AI workloads. With 128 GB of unified system memory, developers can experiment, fine-tune, or inference models of up to 200B parameters. Plus, NVIDIA ConnectX™ networking can connect two NVIDIA DGX Spark supercomputers to enable inference on models up to 405B parameters.
To give developers a familiar experience, the NVIDIA DGX Spark Supercomputer mirrors the same software architecture that powers industrial-strength AI factories. Using the NVIDIA DGX OS with Ubuntu Linux and preconfigured with the latest NVIDIA AI software stack, along with developer program access to NVIDIA NIM™ and NVIDIA Blueprints, developers can hit the ground running using common tools such as Pytorch, Jupyter, and Ollama to prototype, fine-tune, and inference on NVIDIA DGX Spark and seamlessly deploy in the data centre or cloud.
NVIDIA DGX Spark lets developers, researchers, data scientists, and students continue to push the boundaries of generative AI.
At the heart of NVIDIA DGX Spark is the new NVIDIA GB10 Grace Blackwell Superchip, optimised for a desktop form factor. GB10 features a powerful NVIDIA Blackwell GPU with fifth-generation Tensor Cores and FP4 support. This delivers up to 1000 TOPS of AI compute.
NVIDIA DGX Spark provides organisations and developers with a powerful, economical experimentation ground for prototype models. This frees up valuable computing resources in their cluster environments, better suited for training and deploying production models. Leveraging the NVIDIA AI platform software architecture enables Spark users to seamlessly transfer models from their desktops. This can be to DGX Cloud or any accelerated cloud or data centre infrastructure. All with virtually no code changes, making it easier than ever to prototype, fine-tune, and iterate.
Architecture | NVIDIA Grace Blackwell |
GPU | NVIDIA Blackwell Architecture |
CPU | 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm |
CUDA Cores | NVIDIA Blackwell Generation |
Tensor Cores | 5th Generation |
RT Cores | 4th Generation |
Tensor Performance1 | 1000 AI TOPS |
System Memory | 128 GB LPDDR5x, unified system memory |
Memory Interface | 256-bit |
Memory Bandwidth | 273 GB/s |
Storage | 1 or 4 TB NVME.M2 with self-encryption |
USB | 4x USB Type-C |
Ethernet | 1x RJ-45 connector 10 GbE |
NIC | ConnectX-7 Smart NIC |
Wi-Fi | WiFi 7 |
Bluetooth | BT 5.3 w/LE |
Audio-output | HDMI multichannel audio output |
Power Consumption | TBD |
Display Connectors | 1x HDMI 2.1a |
NVENC | NVDEC | 1x | 1x |
OS | NVIDIA DGX™ OS |
System Dimensions | 150 mm L x 150 mm W x 50.5 mm H |
System Weight | 1.2 kg |
* Preliminary specifications, subject to change | |
1. Theoretical FP4 TOPS using the sparsity feature. | |
© 2025 NVIDIA Corporation and affiliates. All rights reserved. NVIDIA, the NVIDIA logo, ConnectX, DGX, NVLink, and NIM are trademarks and/or registered trademarks of NVIDIA Corporation and affiliates in the U.S. and other countries. Other company and product names may be trademarks of the respective owners with which they are associated. 3841551. Apr PR25 |